We use the Interspeech 2010 Paralinguistic Challange feature set proposed in [1]}.
The feature set contains 38 low-level descriptors (LLDs) and 21 functionals yielding a total of 1582 acoustic features [2]} as summarized in Table REF .
The LLDs are extracted at 100 frames per second with a diverse set of short-time windows
and smoothed by simple moving average low-pass filtering with a window length of 3 frames. Afterward, the first-order regression coefficients are calculated followed by the 21 functionals for every instance in the dataset [2]}. These features are extracted using the openSMILE toolkit [4]}.
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